swap-253/Twitter-US-Airline-Sentiment-Analysis
In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,
No commits in the last 6 months.
Stars
6
Forks
2
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Apr 30, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/swap-253/Twitter-US-Airline-Sentiment-Analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
abdulfatir/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
Zephery/weiboanalysis
微博情感分析，文本分类，毕业设计项目
lunarwhite/covid-social-analysis
Apply ML on weibo sentiment. 疫情背景下微博文本情感分析与可视化
fhamborg/NewsMTSC
Target-dependent sentiment classification in news articles reporting on political events....
pmsosa/CS291K
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models